Haoxi Zhong

1.1k citations
5 papers · 324 indexed · 1 hit paper · h-index 4
Topics
Artificial Intelligence in Law (3 papers)Natural Language Processing Techniques (2 papers)Topic Modeling (2 papers)
Journals
Medical Decision MakingProceedings of the AAAI Conference on Artificial Intelligence

In The Last Decade

Haoxi Zhong

5 papers receiving 317 citations

Hit Papers

Legal Judgment Prediction via Topological Learning2018202620202023201850100150

Peers

Haoxi Zhong
Comparison fields: 5 of 39
  • Political Science and International Relations 271
  • Artificial Intelligence 206
  • Law 119
  • Economics and Econometrics 85
  • Information Systems 19
Replace Zhipeng Guo with:
Zhipeng Guo China
Dirk Hartung United States
Abhik Jana India
Matthias Grabmair Germany
Zikun Hu China
Mihaela Vela Germany
Terence Anderson United States
Paheli Bhattacharya India
Vu Tran Japan
Llio Humphreys Italy
Haoxi Zhong relative to Zhipeng Guo China Zhipeng Guo's profile →
Citations per field
00.5×1.6×
Zhipeng Guo · 1×
Citations per year

Countries citing papers authored by Haoxi Zhong

Since Specialization
Citations

This map shows the geographic impact of Haoxi Zhong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Haoxi Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haoxi Zhong more than expected).

Fields of papers citing papers by Haoxi Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haoxi Zhong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Haoxi Zhong. The network helps show where Haoxi Zhong may publish in the future.

Co-authorship network of co-authors of Haoxi Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Haoxi Zhong. A scholar is included among the top collaborators of Haoxi Zhong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haoxi Zhong. Haoxi Zhong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 2
2 59
3 67
4 10
5
Legal Judgment Prediction via Topological Learningbreakdown →
186

About Haoxi Zhong

Haoxi Zhong is a scholar working on Law, Political Science and International Relations and Artificial Intelligence, having authored 5 papers that have together received 324 indexed citations. Recurring topics across this work include Artificial Intelligence in Law (3 papers), Natural Language Processing Techniques (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Law (119 citations), Political Science and International Relations (271 citations) and Artificial Intelligence (206 citations). Haoxi Zhong has collaborated with scholars based in China, Australia and Saudi Arabia. Frequent co-authors include Maosong Sun, Zhiyuan Liu, Cunchao Tu, Chaojun Xiao, Zhipeng Guo, Tianyang Zhang, Carissa Bonner, Adrian C. Traeger, Michael Anthony Fajardo and Lyndal Trevena. Their work appears in journals such as Medical Decision Making and Proceedings of the AAAI Conference on Artificial Intelligence.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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